Learning • 9m
Breaking News: MIT researchers, in collaboration with IBM and other institutions, have explored techniques such as deductive closure training, where AI models screen their own outputs for inaccuracies and contradictions, acting as both student and teacher. This approach helps models improve consistency and accuracy over time, even without human intervention for every update.

fullstack dev specia... • 8m
🚀 Just wrapped up another portfolio project: AI Strategy Assistant, part of my ongoing journey in building agentic, RAG-powered AI systems! 🧠 What it is: A personal Streamlit-based app that simulates multi-perspective feedback (like CTO, founder,
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Pocket says nil.. Mi... • 11m
ANT Group Uses Domestic Chips to train AI models and cut COSTS Ant Group is relying on Chinese-made semiconductors to train artificial intelligence models to reduce costs and lessen dependence on restricted US technology, according to people familia
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Entrepreneur | Build... • 10m
The Most Expensive “Thank You” in Tech History 🔥 Turns out, saying “thank you” to ChatGPT costs millions. Literally. Sam Altman just revealed that OpenAI spends tens of millions of dollars processing tiny, polite phrases like “thank you” and “pl
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Founder | Agentic AI... • 2m
Most people miss these steps while learning AI. I’ve explained the complete AI learning path in detail. 1. Learn what AI, ML, and Deep Learning actually mean. 2. Observe how AI works in apps like Netflix, Google, and ChatGPT. 3. Get comfortable wit
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Founder | Agentic AI... • 1d
Everyone talks about AI agents. Very few people understand what’s actually happening under the hood. Here’s the vocabulary that shows up constantly when working with agent systems. First, the core ideas. An agent is software that observes informat
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